Senior Artificial Intelligence Engineer

Covestro AG; Baytown (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

Covestro AG is seeking a Senior AI Engineer to design, implement, and deploy production-grade AI/ML solutions across scalable cloud and edge environments.

You will build end-to-end ML pipelines, monitor model performance, and collaborate with data scientists to translate business needs into robust technical solutions, while advancing Covestro's digital transformation and data-driven decision making.

Qualifications

• 7+ years in AI/ML engineering or 5+ with Master or 3+ with PhD.
• Experience building production AI systems.
• Proficiency with AI frameworks.
• Strong programming in Python.
• Experience with cloud platforms and containerization.
• Excellent communication and collaboration skills.

Responsibilities

• Engineer and deploy AI/ML models into production environments.
• Design and implement MLOps/AIOps pipelines for lifecycle management.
• Create monitoring for drift and retraining mechanisms.
• Architect scalable AI solutions leveraging cloud/edge computing.
• Develop and maintain microservice architectures for AI deployments.
• Implement data pipelines supporting training and inference.

Skills

AI/ML engineering

Modern AI frameworks

Containerization

Cloud platforms

Data processing

Python

Communication

Travel willingness

Education

Bachelor's degree in CS/SE or related field

Tools

Docker

Kubernetes

Job description

Senior Artificial Intelligence (AI) Engineer

We are Covestro. We are curious, courageous, and colorful. We refine chemical material solutions with game‑changing products. Join us and our 18,000 colleagues to help make the world a brighter place.

Major Tasks and Responsibilities

• Engineer and deploy AI and machine learning models into production environments.
• Design and implement comprehensive MLOps and AIOps pipelines for model lifecycle management.
• Create monitoring systems to detect model drift and implement automated retraining mechanisms.
• Architect scalable AI solutions leveraging cloud and edge computing technologies.
• Develop and maintain microservice architectures supporting AI deployments.
• Implement data pipelines to support training and inference needs across diverse data types.
• Partner with data scientists and Generative AI Engineers to optimize model performance and deployment efficiency.
• Work cross‑functionally with business stakeholders to align AI solutions with business needs.
• Evaluate and incorporate emerging AI technologies to maintain competitive advantage.
• Drive business value by successfully integrating AI capabilities into Covestro's core processes.
• Accelerate digital transformation through automated, intelligent solutions that enhance efficiency and innovation.
• Enable data‑driven decision making by making AI accessible and reliable for business users.

Basic Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or related technical field with 7+ years’ experience; or Master’s degree with 5+ years’ experience; or PhD with 3+ years’ experience.
• 3+ years of experience in AI/ML engineering, with demonstrated success in production AI systems.
• Experience with modern AI frameworks.
• Strong expertise in containerization and cloud platforms.
• Proficiency with data processing technologies and database systems.
• Programming expertise in Python and familiarity with other languages.
• Strong problem‑solving skills and ability to translate business requirements into technical solutions.
• Excellent communication skills with ability to explain complex technical concepts to diverse audiences.
• Adaptability to work in a fast‑paced environment with evolving technologies and requirements.
• Willingness to travel occasionally for collaboration purposes.

Equal Employment Opportunity

Hiring and advancement are based on job‑related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law.